Hadoop has quickly gone from "project" to "viable solution" for leveraging the power of clusters of computers to solve problems. Organizations are taking advantage of the ability to segregate data among different storage and computation environments to optimize cost, performance, availability and flexibility. Some organizations have legal requirements that govern the amount of data they need to keep and what they need to report on. Others may want to keep this long tail of information for historical reporting and analytics. By combining Hadoop and an Enterprise NoSQL database, you can index the most critical and frequently accessed data on high-performance infrastructure and allocate the rest to a low-cost offline archive for intermittent access and historical analysis.